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Federal
Food Security in the United States
Department of Agriculture —
This data section provides information about publicly available national surveys that include questions from the U.S. Food Security Survey Module. Information on each... -
Federal
Severe Weather Data Inventory (SWDI)
National Oceanic and Atmospheric Administration, Department of Commerce —
The Severe Weather Data Inventory (SWDI) is an integrated database of severe weather records for the United States. SWDI enables a user to search through a variety of... -
Federal
NOAA Climate Data Record (CDR) of AVHRR Normalized Difference Vegetation Index (NDVI), Version 5
National Oceanic and Atmospheric Administration, Department of Commerce —
This dataset contains gridded daily Normalized Difference Vegetation Index (NDVI) derived from the NOAA Climate Data Record (CDR) of Advanced Very High Resolution... -
Federal
Emergency Solutions Grantee (ESG) Areas
Department of Housing and Urban Development —
The purpose of the Emergency Solutions Grants (ESG) program is to identify sheltered and unsheltered homeless persons, as well as those at risk of homelessness, and... -
Federal
NOAA Climate Data Record (CDR) of AVHRR Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Version 5
National Oceanic and Atmospheric Administration, Department of Commerce —
This dataset contains gridded daily Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) derived from the NOAA Climate Data... -
Federal
NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1
National Oceanic and Atmospheric Administration, Department of Commerce —
PERSIANN Precipitation Climate Data Record (PERSIANN-CDR) is a daily quasi-global precipitation product for the period of 1982 to the present (note that there is a... -
Federal
Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe
Department of the Interior —
In this project, we used an advanced statistical downscaling method that combines high-resolution observations with outputs from 16 different global climate models...